pandas.api.types.is_timedelta64_ns_dtype#

pandas.api.types.is_timedelta64_ns_dtype(arr_or_dtype)[source]#

Check whether the provided array or dtype is of the timedelta64[ns] dtype.

This is a very specific dtype, so generic ones like np.timedelta64 will return False if passed into this function.

Parameters:

arr_or_dtypearray-like or dtype: The array or dtype to check.

Returns:

boolean: Whether or not the array or dtype is of the timedelta64[ns] dtype.

See also

api.types.is_timedelta64_dtype: Check whether an array-like or dtype is of the timedelta64 dtype.

Examples

>>> from pandas.core.dtypes.common import is_timedelta64_ns_dtype
>>> is_timedelta64_ns_dtype(np.dtype("m8[ns]"))
True
>>> is_timedelta64_ns_dtype(np.dtype("m8[ps]"))  # Wrong frequency
False
>>> is_timedelta64_ns_dtype(np.array([1, 2], dtype="m8[ns]"))
True
>>> is_timedelta64_ns_dtype(np.array([1, 2], dtype=np.timedelta64))
False